Revenue

Forecasting

Growth Rate Forecast

Time Series

Time series forecasting methods arranged by mean absolute percentage error (MAPE)

Method MAPE
DSHW 27.41785
SARIMA 29.17345
Naive 31.24933
ETS 31.24933
TBATS 31.82324

Holt-Winters’ MAPE: 8.9323899

Holt-Winters’ MAPE: 8.9323899

Log-Linear Regression

Spend to Revenue

Spend to ROAS of Revenue Log-Linear Regression

Heatmaps

Expected Revenue if ROAS improves by Y%

Strongest ROAS by Spend

Metric Funnel…